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[英]How to resolve keras.callbacks import errors for TensorBoard?
[英]Tensorboard import error in keras.callbacks
我正在使用 Keras 关注 sentdex 在神经网络上的视频。
我的 tensorflow 版本是 2.0.0。
我在 Windows 10 上并在 Anaconda Jupyter 环境中运行此代码。
我已经尝试搜索或此错误,但我没有得到任何结果。
代码:
import tensorflow as tf
from tensorflow.keras.datasets import cifar10
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten
from tensorflow.keras.layers import Conv2D, MaxPooling2D
from tensorflow.keras.callbacks import Tensorboard
import pickle
import numpy as np
import os
import time
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
NAME = "CATS-VS-DOGS-CNN-{}".format(int(time.time()))
tensorboard = TensorBoard(log_dir="logs/{}".format(NAME))
pickle_in = open("X.pickle","rb")
X = pickle.load(pickle_in)
pickle_in = open("y.pickle","rb")
y = pickle.load(pickle_in)
X = X/255.0
model = Sequential()
model.add(Conv2D(256, (3, 3), input_shape=X.shape[1:]))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Conv2D(256, (3, 3)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Flatten()) # this converts our 3D feature maps to 1D feature vectors
model.add(Dense(64))
model.add(Activation('relu'))
model.add(Dense(1))
model.add(Activation('sigmoid'))
model.compile(loss='binary_crossentropy',
optimizer='adam',
metrics=['accuracy'])
model.fit(X, y, batch_size=8, epochs=10, validation_split=0.3, callbacks = [tensorboard])
错误:
ImportError Traceback (most recent call last)
<ipython-input-2-a32bf5fe83d7> in <module>
5 from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten
6 from tensorflow.keras.layers import Conv2D, MaxPooling2D
----> 7 from tensorflow.keras.callbacks import Tensorboard
8
9 import pickle
ImportError: cannot import name 'Tensorboard' from 'tensorflow.keras.callbacks' (C:\Users\anves\Anaconda3\lib\site-packages\tensorflow_core\python\keras\api\_v2\keras\callbacks\__init__.py)
如果您注意到,您正在导入Tensorboard
(带有一个小“b”):
from tensorflow.keras.callbacks import Tensorboard
但是当您创建回调时,您使用的是TensorBoard
(带有大写TensorBoard
“B”):
tensorboard = TensorBoard(log_dir="logs/{}".format(NAME))
因此,您需要按如下方式导入TensorBoard
(大写TensorBoard
“B”):
from tensorflow.keras.callbacks import TensorBoard
以下是显示相同更正的屏幕截图:
希望这可以帮助! :)
尝试使用:从 keras.callbacks 导入 TensorBoard。 希望这肯定会奏效。
我的笔记本截图:供参考的笔记本
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